A. Wakkach

505 total citations
10 papers, 409 citations indexed

About

A. Wakkach is a scholar working on Neurology, Molecular Biology and Immunology. According to data from OpenAlex, A. Wakkach has authored 10 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in A. Wakkach's work include Myasthenia Gravis and Thymoma (7 papers), Pituitary Gland Disorders and Treatments (2 papers) and Immune Response and Inflammation (2 papers). A. Wakkach is often cited by papers focused on Myasthenia Gravis and Thymoma (7 papers), Pituitary Gland Disorders and Treatments (2 papers) and Immune Response and Inflammation (2 papers). A. Wakkach collaborates with scholars based in France, Greece and Australia. A. Wakkach's co-authors include Sonia Berrih‐Aknin, Thierry Guyon, Sylvia Cohen‐Kaminsky, Corine Bruand, Françoise Cottrez, S J Tzartos, Hervé Groux, Claudine Blin‐Wakkach, Nathalie Rochet and Georges F. Carle and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Annals of the New York Academy of Sciences.

In The Last Decade

A. Wakkach

10 papers receiving 407 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
A. Wakkach France	9	194	117	85	72	56	10	409
Christine Lombard France	12	98 0.5×	72 0.6×	89 1.0×	54 0.8×	25 0.4×	33	412
Jeffrey Palmer United States	10	105 0.5×	78 0.7×	151 1.8×	132 1.8×	33 0.6×	28	499
Claudia Luther Germany	9	88 0.5×	65 0.6×	231 2.7×	53 0.7×	40 0.7×	10	405
Alexandra Garcia France	12	145 0.7×	117 1.0×	315 3.7×	82 1.1×	10 0.2×	26	622
Aigli G. Vakrakou Greece	12	116 0.6×	160 1.4×	151 1.8×	52 0.7×	18 0.3×	40	462
Chiara Baiguera Italy	8	94 0.5×	55 0.5×	39 0.5×	41 0.6×	14 0.3×	22	450
Joke M. Zuijderwijk Netherlands	11	118 0.6×	46 0.4×	70 0.8×	80 1.1×	108 1.9×	14	364
Samantha Loveless United Kingdom	10	68 0.4×	172 1.5×	120 1.4×	39 0.5×	10 0.2×	19	427
Maria Grazia Piccinno Italy	10	96 0.5×	58 0.5×	161 1.9×	85 1.2×	5 0.1×	15	471
J. V. DIENGDOH United Kingdom	11	44 0.2×	61 0.5×	77 0.9×	29 0.4×	74 1.3×	21	355

Countries citing papers authored by A. Wakkach

Since Specialization

Citations

This map shows the geographic impact of A. Wakkach's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A. Wakkach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Wakkach more than expected).

Fields of papers citing papers by A. Wakkach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Wakkach. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A. Wakkach. The network helps show where A. Wakkach may publish in the future.

Co-authorship network of co-authors of A. Wakkach

This figure shows the co-authorship network connecting the top 25 collaborators of A. Wakkach. A scholar is included among the top collaborators of A. Wakkach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Wakkach. A. Wakkach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Abou‐Ezzi, Grazia, et al.. (2011). Osteoclasts induce a vicious circle between inflammation and bone destruction. Bone. 48. S128–S128. 1 indexed citations

Blin‐Wakkach, Claudine, A. Wakkach, Patrick M. Sexton, Nathalie Rochet, & Georges F. Carle. (2004). Hematological defects in the oc/oc mouse, a model of infantile malignant osteopetrosis. Leukemia. 18(9). 1505–1511. 59 indexed citations

Bismuth, Jacky, et al.. (2004). Thymic myoid cells express high levels of muscle genes. Journal of Neuroimmunology. 148(1-2). 97–105. 41 indexed citations

Wakkach, A., Eric Chastre, Corine Bruand, et al.. (2001). Phenotypic and functional characterization of human thymic stromal cell lines.. PubMed. 47(1). 167–78. 9 indexed citations

Wakkach, A., Françoise Cottrez, & Hervé Groux. (2000). Can interleukin-10 be used as a true immunoregulatory cytokine?. PubMed. 11(2). 153–60. 58 indexed citations

Wakkach, A., Eric Chastre, Christian Gespach, et al.. (1999). Establishment of a Human Thymic Myoid Cell Line. American Journal Of Pathology. 155(4). 1229–1240. 38 indexed citations

Marie, Jean‐Claude, A. Wakkach, A M Coudray, et al.. (1999). Functional Expression of Receptors for Calcitonin Gene-Related Peptide, Calcitonin, and Vasoactive Intestinal Peptide in the Human Thymus and Thymomas from Myasthenia Gravis Patients. The Journal of Immunology. 162(4). 2103–2112. 26 indexed citations

Guyon, Thierry, A. Wakkach, Vincent Mouly, et al.. (1998). Regulation of acetylcholine receptor gene expression in human myasthenia gravis muscles. Evidences for a compensatory mechanism triggered by receptor loss.. Journal of Clinical Investigation. 102(1). 249–263. 54 indexed citations

Moulian, Nathalie, A. Wakkach, Thierry Guyon, et al.. (1998). Respective Role of Thymus and Muscle in Autoimmune Myasthenia Gravis^a. Annals of the New York Academy of Sciences. 841(1). 397–406. 10 indexed citations

10.

Wakkach, A., Thierry Guyon, Corine Bruand, et al.. (1996). Expression of acetylcholine receptor genes in human thymic epithelial cells: implications for myasthenia gravis. The Journal of Immunology. 157(8). 3752–3760. 113 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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